SurrealDB
Category: AI Infrastructure
SurrealDB is a multi-model, AI-native database platform that unifies relational, document, graph, vector, time-series, and search data in a single engine, purpose-built as the context and memory layer for AI agents. SurrealDB was founded in 2021. The company is led by Tobie Morgan Hitchcock. Based in London, United Kingdom. Team size: 11-50. Total funding raised: $44M. Latest round: Series A. Key investors include FirstMark Capital, Georgian, Chalfen Ventures, Begin Capital, Crew Capital, Alumni Ventures.
- Founded
- 2021
- Headquarters
- London, United Kingdom
- Team size
- 11-50
- Total funding
- $44M
Value proposition
Consolidates 5+ separate data systems (relational DB, vector DB, graph DB, doc store, search, auth) into a single ACID-compliant engine with one query language (SurrealQL), eliminating context fragmentation, reducing token costs, and cutting latency for AI agent applications.
Products and solutions
SurrealDB (multi-model database — relational, document, graph, vector, time-series, search, geospatial, key-value in one engine), Spectron (agent memory and knowledge layer built on SurrealDB), SurrealDB Cloud (fully-managed DBaaS), SurrealDS (distributed storage), Surrealist (GUI management tool), Surrealism (plugin ecosystem for AI-native organizations)
Unique value
The only database that provides first-class agent memory and context graphs directly inside the database engine, enabling AI agents to maintain persistent, synchronized context across structured and unstructured data — all within a single transaction boundary.
Target customer
Developers and enterprises building AI-native applications, AI agents, and real-time systems that need unified data infrastructure — from startups to Global 2000 companies.
Industries served
Technology, Telecommunications, Media & Advertising, Financial Services, Enterprise Software, AI/ML
Technology advantage
Built entirely in Rust as a single library; multi-model architecture (relational, document, graph, vector, time-series, search, geospatial, key-value) in one ACID-compliant engine; custom SurrealQL query language; compute-storage separation with object storage; SOC 2 Type 2, GDPR, Cyber Essentials Plus, ISO 27001 certified; 31,000+ GitHub stars; 2.3M+ downloads; fastest-growing open-source database project.
How they differentiate
Unlike MongoDB (document-only), Neo4j (graph-only), or Pinecone/Weaviate (vector-only), SurrealDB unifies ALL data models in a single engine with ACID transactions. Unlike Supabase/Firebase (BaaS with limited query models), SurrealDB offers full multi-model querying via SurrealQL with built-in agent memory (Spectron). Unlike SingleStore (SQL-focused), SurrealDB is purpose-built for AI agent context with native graph traversal, vector search, and temporal facts in one round trip.
Main competitors
MongoDB, Neo4j, Supabase, SingleStore, EdgeDB, Firebase, Couchbase
Key partnerships
AWS Marketplace, AWS Bedrock integration, Microsoft Azure (ARM templates, Container Instances), GitHub (open-source community)
Notable customers
Samsung, Verizon, Tencent, PolyAI, Apple, BYD, Aspire, Permit.io, Later
Major milestones
2021: Company founded, 2022: Seed round ($6M, FirstMark), 2023: Public beta of SurrealDB Cloud, 2024: Series A ($15M, FirstMark & Georgian), 25K+ GitHub stars, 2025: SOC 2 Type 2 & ISO 27001 certification, Feb 2026: Series A extension ($23M, Chalfen Ventures & Begin Capital), SurrealDB 3.0 GA launch with first-class agent memory and context graphs, 31K+ GitHub stars, 2.3M+ downloads
Growth metrics
31,000+ GitHub stars; 2.3M+ downloads; 1,000+ forks; 45 employees; customers include Samsung, Verizon, Tencent, Apple, PolyAI
Market positioning
Category-defining AI-native database positioned as the "context layer for AI agents" — competing against both traditional multi-model databases (MongoDB, Neo4j) and the emerging AI memory/infrastructure layer (LangChain memory, vector databases). One of the best-funded database startups in its category with $44M total raised.
Geographic focus
Global (headquartered in London, UK with customers across North America, Europe, and Asia-Pacific)
About Tobie Morgan Hitchcock
Co-founded Hire Insight (candidate assessment platform); built various cloud-based SaaS applications. MSc in Software Engineering from University of Oxford (thesis on versioning in distributed databases). 20+ years as a full-stack engineer specializing in distributed databases and highly-available architectures.
Latest news about SurrealDB
More AI Infrastructure companies
Official website: https://surrealdb.com